Selectively doping barlowite for quantum spin liquid: A first-principles study
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Bibliographic record
Abstract
Barlowite ${\mathrm{Cu}}_{4}{(\mathrm{OH})}_{6}\mathrm{FBr}$ is a newly found mineral containing ${\mathrm{Cu}}^{2+}$ kagome planes. Despite similarities in many aspects to herbertsmithite ${\mathrm{Cu}}_{3}\mathrm{Zn}{(\mathrm{OH})}_{6}{\mathrm{Cl}}_{2}$, the well-known quantum spin liquid (QSL) candidate, intrinsic barlowite turns out not to be a QSL, possibly due to the presence of ${\mathrm{Cu}}^{2+}$ ions in between kagome planes that induce interkagome magnetic interaction [Phys. Rev. Lett. 113, 227203 (2014)]. Using first-principles calculation, we systematically study the feasibility of selective substitution of the interkagome Cu ions with isovalent nonmagnetic ions as a function of ion concentration up to the stoichiometric limit. Unlike previous speculation of using larger dopants, such as ${\mathrm{Cd}}^{2+}$ and ${\mathrm{Ca}}^{2+}$, we identify the most ideal stoichiometric doping elements to be Mg and Zn in forming ${\mathrm{Cu}}_{3}\mathrm{Mg}{(\mathrm{OH})}_{6}\mathrm{FBr}$ and ${\mathrm{Cu}}_{3}\mathrm{Zn}{(\mathrm{OH})}_{6}\mathrm{FBr}$ with the highest site selectivity and smallest lattice distortion. The equilibirium antisite disorder in Mg/Zn-doped barlowite is estimated to be one order of magnitude lower than that in herbertsmithite. The single-electron band structure and orbital component analysis show that the proposed selective doping effectively mitigates the difference between barlowite and herbertsmithite.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it